Postdoc/PhD in single-cell Bioinformatics
Single-cell technologies have recently gained tremendous popularity in biology. We combine cutting-edge techniques in the lab and in silico to apply them for further understanding of human health, development and disease.The major focus of our laboratory is to investigate the regulation of human T cells in health and disease. We address fundamental questions about the mechanistic basis of human T cell memory formation, it stabilization, and modulation. We also investigate T cell communication with the local tissue microenvironment in settings of health and disease.
Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets.
Our laboratory is located in an innovative new interdisciplinary institute in the heart of Munich (TranslaTUM) where scientific excellence and cutting-edge technologies come together to train the next generation of scientists.
- implement, develop and extend methods for processing and analyzing single cell RNAseq
and protein profiles
- develop methods for second level analyses e.g. interaction networks, enrichment analyses
- biological interpretation of data
- PhD/MSc degree in bioinformatics, computer science, mathematics, physics or equivalent
- background in Machine Learning and/or RNAseq analysis
- interest in biological applications
- passion for science and scientific work
- proficient in written and spoken English
- being comfortable in interacting with colleagues in an interdisciplinary setting
- Working in an innovative, well-equipped and scientifically stimulating environment
- Further training opportunities
- Initial employment contract for 2-3 years with a standard public service salary (TV EntgO
Bund) and the possibility of extension
Application documents (motivation letter, CV, certificates, two references) should be submitted
as soon as possible and no later than 15th October as a single PDF file to [email protected]